Update README.md

README.md

@@ -9,22 +9,23 @@ Zamba-7B-v1 is a hybrid model between Mamba, a state-space model, and transforme
 
 ### Presequities
 
-Zamba requires you use `transformers` version 4.39.0 or higher:
-```bash
-pip install transformers>=4.39.0
-```
+To download Zamba, clone Zyphra's fork of transformers:
+1. `git clone https://github.com/Zyphra/transformers_zamba`
+2. `cd transformers_zamba`
+3. Install the repository: `pip install -e .`
+
 
-In order to run optimized Mamba implementations on a CUDA device, you first need to install `mamba-ssm` and `causal-conv1d`:
+In order to run optimized Mamba implementations on a CUDA device, you need to install `mamba-ssm` and `causal-conv1d`:
 ```bash
 pip install mamba-ssm causal-conv1d>=1.2.0
 ```
 
-You can run the model not using the optimized Mamba kernels, but it is **not** recommended as it will result in significantly higher latency. 
+You can run the model without using the optimized Mamba kernels, but it is **not** recommended as it will result in significantly higher latency. 
 
 To run on CPU, please specify `use_mamba_kernels=False` when loading the model using ``AutoModelForCausalLM.from_pretrained``.
 
 
-## Inference
+### Inference
 
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM